M O Martel1, A D Wasan, R N Jamison, R R Edwards. 1. Department of Anesthesiology, Harvard Medical School, BWH Pain Management Center, 850 Boylston St., Chestnut Hill, MA 02467, USA. momartel.bwh.harvard@outlook.com
Abstract
BACKGROUND: As a consequence of the substantial rise in the prescription of opioids for the treatment of chronic noncancer pain, greater attention has been paid to the factors that may be associated with an increased risk for prescription opioid misuse. Recently, a growing number of studies have shown that patients with high levels of catastrophizing are at increased risk for prescription opioid misuse. OBJECTIVE: The primary objective of this study was to examine the variables that might underlie the association between catastrophizing and risk for prescription opioid misuse in patients with chronic pain. METHODS: Patients with chronic musculoskeletal pain (n=115) were asked to complete the SOAPP-R, a validated self-report questionnaire designed to identify patients at risk for prescription opioid misuse. Patients were also asked to complete self-report measures of pain intensity, catastrophizing, anxiety, and depression. RESULTS: Consistent with previous research, we found that catastrophizing was associated with an increased risk for prescription opioid misuse. Results also revealed that the association between catastrophizing and risk for opioid misuse was partially mediated by patients' levels of anxiety. Follow-up analyses, however, indicated that catastrophizing remained a significant 'unique' predictor of risk for opioid misuse even when controlling for patients' levels of pain severity, anxiety and depressive symptoms. DISCUSSION: Discussion addresses the factors that might place patients with high levels of catastrophizing at increased risk for prescription opioid misuse. The implications of our findings for the management of patients considered for opioid therapy are also discussed.
BACKGROUND: As a consequence of the substantial rise in the prescription of opioids for the treatment of chronic noncancer pain, greater attention has been paid to the factors that may be associated with an increased risk for prescription opioid misuse. Recently, a growing number of studies have shown that patients with high levels of catastrophizing are at increased risk for prescription opioid misuse. OBJECTIVE: The primary objective of this study was to examine the variables that might underlie the association between catastrophizing and risk for prescription opioid misuse in patients with chronic pain. METHODS:Patients with chronic musculoskeletal pain (n=115) were asked to complete the SOAPP-R, a validated self-report questionnaire designed to identify patients at risk for prescription opioid misuse. Patients were also asked to complete self-report measures of pain intensity, catastrophizing, anxiety, and depression. RESULTS: Consistent with previous research, we found that catastrophizing was associated with an increased risk for prescription opioid misuse. Results also revealed that the association between catastrophizing and risk for opioid misuse was partially mediated by patients' levels of anxiety. Follow-up analyses, however, indicated that catastrophizing remained a significant 'unique' predictor of risk for opioid misuse even when controlling for patients' levels of pain severity, anxiety and depressive symptoms. DISCUSSION: Discussion addresses the factors that might place patients with high levels of catastrophizing at increased risk for prescription opioid misuse. The implications of our findings for the management of patients considered for opioid therapy are also discussed.
Authors: Beatrix M Schieffer; Quyhn Pham; Jennifer Labus; Ariel Baria; Walter Van Vort; Philip Davis; Frederick Davis; Bruce D Naliboff Journal: J Pain Date: 2005-09 Impact factor: 5.820
Authors: Francis J Keefe; John C Lefebvre; Jennifer R Egert; Glenn Affleck; Michael J Sullivan; David S Caldwell Journal: Pain Date: 2000-09 Impact factor: 6.961
Authors: P Franques; M Auriacombe; E Piquemal; M Verger; S Brisseau-Gimenez; D Grabot; J Tignol Journal: Drug Alcohol Depend Date: 2003-03-01 Impact factor: 4.492
Authors: Edward Michna; Edgar L Ross; Wilfred L Hynes; Srdjan S Nedeljkovic; Sharonah Soumekh; David Janfaza; Diane Palombi; Robert N Jamison Journal: J Pain Symptom Manage Date: 2004-09 Impact factor: 3.612
Authors: Laura L Adams; Robert J Gatchel; Richard C Robinson; Peter Polatin; Noor Gajraj; Martin Deschner; Carl Noe Journal: J Pain Symptom Manage Date: 2004-05 Impact factor: 3.612
Authors: Gadi Gilam; John A Sturgeon; Dokyoung S You; Ajay D Wasan; Beth D Darnall; Sean C Mackey Journal: Pain Med Date: 2020-02-01 Impact factor: 3.750
Authors: Yasamin Sharifzadeh; Ming-Chih Kao; John A Sturgeon; Thomas J Rico; Sean Mackey; Beth D Darnall Journal: Anesthesiology Date: 2017-07 Impact factor: 7.892
Authors: R Kathryn McHugh; Roger D Weiss; Marise Cornelius; Marc O Martel; Robert N Jamison; Robert R Edwards Journal: J Pain Date: 2016-04-04 Impact factor: 5.820
Authors: Andrew H Rogers; Brooke Y Kauffman; Jafar Bakhshaie; R Kathryn McHugh; Joseph W Ditre; Michael J Zvolensky Journal: Am J Drug Alcohol Abuse Date: 2019-03-21 Impact factor: 3.829
Authors: Chung Jung Mun; Patrick H Finan; Michael T Smith; C Patrick Carroll; Joshua M Smyth; Sophie M Lanzkron; Jennifer A Haythornthwaite; Claudia M Campbell Journal: Ann Behav Med Date: 2021-06-02